A cellular automaton is a discrete model of computation studied in automata theory.
It consists of a regular grid of cells, each in one of a finite number of states; a new generation is created according to some fixed rule that determines the new state of each cell in terms of the current state of the cell and its neighborhood.
Typically, the rule for updating the state of cells is the same for each cell and does not change over time, and is applied to the whole grid simultaneously, though exceptions are known, such as the stochastic cellular automaton and asynchronous cellular automaton.
A well-known cellular automaton is Conway’s Game of Life.
Probabilistic language based on pattern matching and constraint propagation, 153 examples
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A library for working with Cellular Automata, for Python.
Official master repo (Git version)
a collection of cellular automata written in Haskell with Diagrams
Generate a voxel shader (for MagicaVoxel) from a custom CA rule
A Python Library for Conway's Game of Life
The PLUS model integrates a rule mining framework based on Land Expansion Analysis Strategy (LEAS) and a CA model based on multi-type Random Patch Seeds (CARS), which was used to understand the drivers of land expansion and project landscape dynamics.
Created by Stanisław Ulam, John von Neumann
Released 1940
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